NVIDIA Tesla P40 · 24GB VRAM

Server GPU FFmpeg

Transcode video 10-50x lebih cepat dengan FFmpeg dan perangkat keras NVIDIA NVENC pengkodean pada server GPU yang berdedikasi.

$ apt install ffmpeg && ffmpeg -hwaccel cuda -hwaccel_output_format cuda -i input.mp4 -c:v h264_nvenc -preset p7 output.mp4
# Menjalankan NVIDIA Tesla P40 (24GB)
Siap. _

Apa itu {nama} pada VPS GPU?

FFmpeg dengan dukungan NVIDIA GPU menggunakan NVENC untuk pengkodean dan NVDEC untuk decoding, mengirimkan video pemrosesan secara dramatis lebih cepat daripada transcoding hanya CPU.

Why FFmpeg GPU on VPS.org GPU

Enkoding NVENC

H.264 dan H.255 perangkat keras pengkodean dengan kecepatan menyala.

Decoding NVDEC

Hardware video decoding membebaskan CPU untuk tugas-tugas lain.

Dukungan 4K/8K

24GB VRAM menangani pipa video resolusi tinggi.

Stream Multiple

Enkodekan beberapa aliran video dalam paralel pada GPU.

Populer {nama} Gunakan Kasus

Pengkodean platform VOD
Transcoding stream hidup
Pemrosesan media sosial
Konversi rekaman keamanan
Arkival media
Streaming asal CDN

Spesifikasi GPU

GPUNVIDIA Tesla P40
VRAM24 GB GDDR5X
CUDA Cores3,840
FP3212 TFLOPS
INT847 TOPS
Memori BW346 GB/s
ArsitekturPascal (GP102)
PassthroughBare-metal PCILE

Pertanyaan yang Sering Diajukan

What is FFmpeg GPU on a GPU VPS?

+

FFmpeg GPU on a GPU VPS is a CUDA-accelerated deployment. FFmpeg GPU is a general GPU-accelerated workload. Make sure your software has CUDA support and that your driver / runtime versions match the workload requirements for FFmpeg GPU.

How do I set up FFmpeg GPU on a GPU VPS?

+

Deploy a GPU VPS with the NVIDIA Tesla P40, SSH in, and run apt install ffmpeg && ffmpeg -hwaccel cuda -hwaccel_output_format cuda -i input.mp4 -c:v h264_nvenc -preset p7 output.mp4. Your FFmpeg GPU environment is ready in minutes with full GPU acceleration.

How much VRAM do I need for FFmpeg GPU?

+

Our GPU VPS ships with 24 GB GDDR5X VRAM on the NVIDIA Tesla P40, which is sufficient for most FFmpeg GPU workloads. Multi-GPU configurations are available on request.

Is FFmpeg GPU GPU VPS billed hourly or monthly?

+

GPU VPS plans are billed monthly with no lock-in contracts and can be cancelled anytime. Contact us for current GPU pricing tiers.

Can I run other tools alongside FFmpeg GPU?

+

Yes — you have full root on the GPU VPS. Run whatever fits inside the 24 GB VRAM and the available RAM / storage budget alongside FFmpeg GPU.

Do I get full root on the FFmpeg GPU GPU VPS?

+

Yes. Full root SSH on every GPU VPS — install drivers, swap CUDA versions, customize the environment for FFmpeg GPU however you need.

Which CUDA version is installed for FFmpeg GPU?

+

GPU VPSs ship with a recent CUDA runtime and the matching NVIDIA driver pre-installed. You can pin or upgrade CUDA versions as required by your FFmpeg GPU workload.

Does my FFmpeg GPU GPU VPS persist between sessions?

+

Yes — your FFmpeg GPU GPU VPS is a long-running persistent server, not an ephemeral instance. Models, configs, and data stay on the SSD between sessions.

Where should I store data for my FFmpeg GPU workload?

+

Keep working data on the VPS SSD for fast access during FFmpeg GPU runs; back up finished artifacts (weights, generations, embeddings) off-server via snapshots or object storage for safety.

Can I scale my FFmpeg GPU GPU VPS later?

+

Yes — plan upgrades are instant from your control panel; the GPU itself can be swapped to a larger tier on request. Your FFmpeg GPU install carries over.

Are backups available for my GPU VPS?

+

Yes. Automated daily backups are an add-on; manual snapshots are free. Useful for long FFmpeg GPU training runs where you want a checkpointable server state.

Is there a money-back guarantee on the GPU VPS?

+

Yes — 30-day money-back guarantee on every plan including GPU. Try FFmpeg GPU on a GPU VPS risk-free.

Siap untuk Menjalankan {nama} di GPU?

Sebarkan server GPU NVIDIA yang berdedikasi dalam beberapa menit.

Luncurkan VPS Anda
Dari $2.0/mo